scholarly journals LEGAL VIEW AT A DIGITAL HUMAN BEING

2021 ◽  
Vol 2 (16) ◽  
pp. 27-42
Author(s):  
Oleksandr Eduardovych Radutniy
Keyword(s):  
Artificial Intelligence ◽  
Legal Liability ◽  
Weakness Of Will ◽  
Human Being ◽  
Digital Human ◽  
Corporate Information

In continuation of previous research, the article offers a legal view at certain features of the digital human being and the formulation de lege ferenda of the special characteristics of a person of the offense. One of the problems is the question about delusion or weakness of will for digital human being, the decision was made by artificial intelligence, which may call into question the fact that there is a factual basis for legal liability. Regarding the digital person, the possibility of escalation of improved intelligence in all spheres of economic, political, corporate, information and military confrontation is argued. It has been proven that artificial intelligence can eliminate the need to think by human and digital human being, and then eliminate the ability to do it.

scholarly journals Legal status and characteristics of a digital human

2021 ◽  
pp. 35-51
Author(s):  
O. RADUTNIY
Keyword(s):  
Artificial Intelligence ◽  
Legal Status ◽  
Homo Sapiens ◽  
State Regulation ◽  
High Tech ◽  
Human Being ◽  
Legal Doctrine ◽  
Law System ◽  
Common Term ◽  
Digital Human

The article outlines the path that humanity is developing from Homo sapiens to digital human being in three main vectors. The latest high-tech devices have been proven to provide a tight interactive connection with the user, thus gradually becoming an integral part of the biological body and human consciousness, a kind of organs or chains for transmitting nerve signals. The possibility of combining carbon technology (human) with silicon technology (artificial intelligence, implants, robotics) creates a powerful new challenge for legal doctrine, one of the main tasks of which is to describe the legal characteristics of digital human being, determine his or her legal status in the law system. To generalize the concepts of transhuman and posthuman, which operates on transhumanism, the author proposes to use the common term of digital human being. The necessity of directing state regulation to limit or prevent the antisocial use of improved physical and cognitive properties by digital human being is argued. The possibility of quantum immortality is considered. It has been suggested that new rights, responsibilities, and freedoms may emerge that now exist only in theory or even beyond imagination and discussion. They can become the subject of supernatural law as the successor of natural law. The possibility of the transition of the decision-making process from a digital human being to artificial intelligence in its implant, when the brain will continue to receive signals that will form the illusion of free will, is analysed. It is proved that a digital human being must be recognized as a special persona of legal relations.

scholarly journals Comparative study of cloud platforms to develop a Chatbot

2017 ◽  
Vol 6 (3) ◽  
pp. 57 ◽  
Author(s):  
Amit Patil ◽  
Marimuthu K ◽  
Nagaraja Rao A ◽  
Niranchana R
Keyword(s):  
Artificial Intelligence ◽  
Comparative Study ◽  
Time Complexity ◽  
Completion Time ◽  
Setup Time ◽  
Human Being ◽  
Cloud Platform ◽  
New Era ◽  
Ibm Watson ◽  
Aws Lambda

Before chatbots there were simply bots: The invention of a chatbot brought us to the new era of technology, the era of conversation service. A chatbot is a virtual person that can effectively talk to any human being with the help of interactive conversion textual skill. Now a days there are many cloud-based platforms available for developing and deploying the chatbot such as Microsoft bot framework, IBM Watson, Kore, AWS lambda, Microsoft Azure bot service, Chatfuel, Heroku and many more but all those techniques has some drawbacks such as built-in Artificial Intelligence, NLP, conversion service, programming etc. This paper represents the comparison between all cloud-based chatbot technologies with some constraint such as built-in AI, setup time, completion time, complexity etc. Finally, by the comparison, we will get to know that which cloud platform is efficient and suitable for developing chatbot.

scholarly journals El sesgo de la máquina en la toma de decisiones en el proceso penal.

2020 ◽  
Vol 6 (2) ◽  
pp. 54-71
Author(s):  
Raquel Borges Blázquez
Keyword(s):  
Artificial Intelligence ◽  
The Other ◽  
Human Being ◽  
Criminal Process ◽  
Ethical Problems ◽  
Intelligent Machines ◽  
Other Hand ◽  
Toma De Decisiones ◽  
Legal Thinking ◽  
The One

Artificial intelligence has countless advantages in our lives. On the one hand, computer’s capacity to store and connect data is far superior to human capacity. On the other hand, its “intelligence” also involves deep ethical problems that the law must respond to. I say “intelligence” because nowadays machines are not intelligent. Machines only use the data that a human being has previously offered as true. The truth is relative and the data will have the same biases and prejudices as the human who programs the machine. In other words, machines will be racist, sexist and classist if their programmers are. Furthermore, we are facing a new problem: the difficulty to understand the algorithm of those who apply the law.This situation forces us to rethink the criminal process, including artificial intelligence and spinning very thinly indicating how, when, why and under what assumptions we can make use of artificial intelligence and, above all, who is going to program it. At the end of the day, as Silvia Barona indicates, perhaps the question should be: who is going to control global legal thinking?

A Pragmatic Analytics of Covid Data Patterns for Predictive Mining of Patients

2020 ◽  
Vol 17 (11) ◽  
pp. 5105-5108
Author(s):  
Rubika Walia ◽  
Neelam Oberoi ◽  
Sakshi Sachdeva
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Research Work ◽  
Human Being ◽  
Global Perspectives ◽  
Integration Pattern ◽  
The Social

The year 2020 has emerged as a menace and threat for the human being whereby the social as well as professional livings getting affected. In the global perspectives, the human lives are affecting and huge demise occurring. In this research work, the effectual implementation towards the usage of Artificial Intelligence is done with the machine learning so that the overall outcomes and predictive mining can be done with higher degree of performance. The work is having the integration pattern of COVID datasets of patients with benchmark characteristics and thereby to have the predictions for the upcoming tests and by this way overall prediction can be done.

Deep Learning Network

2020 ◽  
pp. 1-30
Author(s):  
Bhanu Chander
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Great Power ◽  
Human Being ◽  
Technology Improvement ◽  
Deep Learning Network ◽  
High Level ◽  
Human Brains ◽  
Near Future

Artificial intelligence (AI) is defined as a machine that can do everything a human being can do and produce better results. Means AI enlightening that data can produce a solution for its own results. Inside the AI ellipsoidal, Machine learning (ML) has a wide variety of algorithms produce more accurate results. As a result of technology, improvement increasing amounts of data are available. But with ML and AI, it is very difficult to extract such high-level, abstract features from raw data, moreover hard to know what feature should be extracted. Finally, we now have deep learning; these algorithms are modeled based on how human brains process the data. Deep learning is a particular kind of machine learning that provides flexibility and great power, with its attempts to learn in multiple levels of representation with the operations of multiple layers. Deep learning brief overview, platforms, Models, Autoencoders, CNN, RNN, and Appliances are described appropriately. Deep learning will have many more successes in the near future because it requires very little engineering by hand.

Artificial Intelligences Are Subsets of Human Beings, Mainly in Fictions and Films

2021 ◽  
pp. 598-618
Author(s):  
Nandini Sen
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Human Being ◽  
Human Beings ◽  
Human Race ◽  
Emotional Quotient ◽  
New Knowledge ◽  
Ai Ethics

This chapter aims to create new knowledge regarding artificial intelligence (AI) ethics and relevant subjects while reviewing ethical relationship between human beings and AI/robotics and linking between the moral fabric or the ethical issues of AI as used in fictions and films. It carefully analyses how a human being will love robot and vice versa. Here, fictions and films are not just about technology but about their feelings and the nature of bonding between AIs and the human race. Ordinary human beings distrust and then start to like AIs. However, if the AI becomes a rogue as seen in many fictions and films, then the AI is taken down to avoid the destruction of the human beings. Scientists like Turing are champions of robot/AI's feelings. Fictional and movie AIs are developed to keenly watch and comprehend humans. These actions are so close to empathy they amount to consciousness and emotional quotient.

Ambient Intelligence Environments

2011 ◽  
pp. 92-98 ◽  
Author(s):  
Carlos Ramos
Keyword(s):  
Artificial Intelligence ◽  
Embedded Systems ◽  
Ambient Intelligence ◽  
New World ◽  
Physical World ◽  
Human Being ◽  
Human Machine Interaction ◽  
Artificial Intelligence Research ◽  
Essential Knowledge ◽  
Machine Interaction

The trend in the direction of hardware cost reduction and miniaturization allows including computing devices in several objects and environments (embedded systems). Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity), allowing the human being to interact in physical world environments in an intelligent and unobtrusive way. These environments should be aware of the needs of people, customizing requirements and forecasting behaviours. AmI environments may be so diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transports, touristic attractions, stores, sport installations, and music devices. Ambient Intelligence involves many different disciplines, like automation (sensors, control, and actuators), human-machine interaction and computer graphics, communication, ubiquitous computing, embedded systems, and, obviously, Artificial Intelligence. In the aims of Artificial Intelligence, research envisages to include more intelligence in the AmI environments, allowing a better support to the human being and the access to the essential knowledge to make better decisions when interacting with these environments

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